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Books > Medicine > General issues > Medical equipment & techniques
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Immunological Bioinformatics (Hardcover, New)
Loot Price: R1,538
Discovery Miles 15 380
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Immunological Bioinformatics (Hardcover, New)
Series: Computational Molecular Biology
Expected to ship within 10 - 15 working days
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Using bioinformatics methods to generate a systems-level view of
the immune system; description of the main biological concepts and
the new data-driven algorithms. Despite the fact that advanced
bioinformatics methodologies have not been used as extensively in
immunology as in other subdisciplines within biology, research in
immunological bioinformatics has already developed models of
components of the immune system that can be combined and that may
help develop therapies, vaccines, and diagnostic tools for such
diseases as AIDS, malaria, and cancer. In a broader perspective,
specialized bioinformatics methods in immunology make possible for
the first time a systems-level understanding of the immune system.
The traditional approaches to immunology are reductionist, avoiding
complexity but providing detailed knowledge of a single event,
cell, or molecular entity. Today, a variety of experimental
bioinformatics techniques connected to the sequencing of the human
genome provides a sound scientific basis for a comprehensive
description of the complex immunological processes. This book
offers a description of bioinformatics techniques as they are
applied to immunology, including a succinct account of the main
biological concepts for students and researchers with backgrounds
in mathematics, statistics, and computer science as well as
explanations of the new data-driven algorithms in the context of
biological data that will be useful for immunologists, biologists,
and biochemists working on vaccine design. In each chapter the
authors show interesting biological insights gained from the
bioinformatics approach. The book concludes by explaining how all
the methods presented in the book can be integrated to identify
immunogenic regions in microorganisms and host genomes.
General
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